Nudrat Nida

649 total citations
23 papers, 436 citations indexed

About

Nudrat Nida is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Oncology. According to data from OpenAlex, Nudrat Nida has authored 23 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 6 papers in Oncology. Recurrent topics in Nudrat Nida's work include AI in cancer detection (6 papers), Cutaneous Melanoma Detection and Management (6 papers) and Advanced Neural Network Applications (5 papers). Nudrat Nida is often cited by papers focused on AI in cancer detection (6 papers), Cutaneous Melanoma Detection and Management (6 papers) and Advanced Neural Network Applications (5 papers). Nudrat Nida collaborates with scholars based in Pakistan, United Kingdom and Spain. Nudrat Nida's co-authors include Aun Irtaza, Muhammad Haroon Yousaf, Muhammad Tariq Mahmood, Ali Javed, Sergio A. Velastín, Saleh Albahli, Serestina Viriri, Syed Muhammad Anwar, Wakeel Ahmad and Syed Adnan Alı Shah and has published in prestigious journals such as IEEE Access, Neural Computing and Applications and International Journal of Medical Informatics.

In The Last Decade

Nudrat Nida

22 papers receiving 413 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nudrat Nida Pakistan 10 194 188 162 65 61 23 436
Jiawen Yang China 6 150 0.8× 184 1.0× 183 1.1× 25 0.4× 66 1.1× 12 390
Pedro M. Ferreira Portugal 8 476 2.5× 409 2.2× 204 1.3× 52 0.8× 154 2.5× 15 724
Samy Bakheet Egypt 10 75 0.4× 116 0.6× 123 0.8× 38 0.6× 21 0.3× 23 350
Hemprasad Yashwant Patil India 9 96 0.5× 115 0.6× 123 0.8× 19 0.3× 49 0.8× 43 353
Abdellah Aarab Morocco 11 131 0.7× 128 0.7× 140 0.9× 10 0.2× 45 0.7× 58 324
Mukti E. Jadhav India 11 106 0.5× 256 1.4× 132 0.8× 146 2.2× 43 0.7× 26 653
Shafqat Ali Shad United States 8 90 0.5× 274 1.5× 343 2.1× 155 2.4× 35 0.6× 17 651
Peyman Hosseinzadeh Kassani United States 10 128 0.7× 222 1.2× 171 1.1× 219 3.4× 34 0.6× 13 513
Iván González-Díaz Spain 11 115 0.6× 135 0.7× 171 1.1× 24 0.4× 39 0.6× 32 347
Ramesh Sunder Nayak Pakistan 7 118 0.6× 148 0.8× 111 0.7× 78 1.2× 38 0.6× 8 304

Countries citing papers authored by Nudrat Nida

Since Specialization
Citations

This map shows the geographic impact of Nudrat Nida's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nudrat Nida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nudrat Nida more than expected).

Fields of papers citing papers by Nudrat Nida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nudrat Nida. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nudrat Nida. The network helps show where Nudrat Nida may publish in the future.

Co-authorship network of co-authors of Nudrat Nida

This figure shows the co-authorship network connecting the top 25 collaborators of Nudrat Nida. A scholar is included among the top collaborators of Nudrat Nida based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nudrat Nida. Nudrat Nida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nida, Nudrat, Muhammad Haroon Yousaf, Aun Irtaza, Sajid Javed, & Sergio A. Velastín. (2023). Spatial deep feature augmentation technique for FER using genetic algorithm. Neural Computing and Applications. 36(9). 4563–4581. 4 indexed citations
2.
Nida, Nudrat, Muhammad Haroon Yousaf, Aun Irtaza, & Sergio A. Velastín. (2022). Video augmentation technique for human action recognition using genetic algorithm. ETRI Journal. 44(2). 327–338. 16 indexed citations
3.
Nida, Nudrat, et al.. (2022). PestinaNet- A Real-Time Crop Pest Detection System. 1–4. 1 indexed citations
4.
Adnan, Syed Muhammad, et al.. (2022). Asphalt Pavement Potholes Localization and Segmentation using Deep RetinaNet and Conditional Random Fields. 3(5). 126–139. 3 indexed citations
5.
Shah, Syed Adnan Alı, et al.. (2022). Deep retinanet for melanoma lesion detection. 1–5. 4 indexed citations
6.
Rehman, Hafeez Ur, et al.. (2022). Automatic melanoma detection and segmentation in dermoscopy images using deep RetinaNet and conditional random fields. Multimedia Tools and Applications. 81(18). 25765–25785. 20 indexed citations
7.
Nida, Nudrat, et al.. (2021). Facial Expression Recognition of Instructor Using Deep Features and Extreme Learning Machine. Computational Intelligence and Neuroscience. 2021(1). 5570870–5570870. 42 indexed citations
8.
9.
Nida, Nudrat, et al.. (2021). Forged Face Detection using ELA and Deep Learning Techniques. 271–275. 21 indexed citations
10.
Nida, Nudrat, Aun Irtaza, & Muhammad Haroon Yousaf. (2021). A Novel Region-Extreme Convolutional Neural Network for Melanoma Malignancy Recognition. Mathematical Problems in Engineering. 2021. 1–18. 3 indexed citations
11.
Nida, Nudrat, et al.. (2021). Alzheimer and Mild Cognitive disease Recognition Using Automated Deep Learning Techniques. 310–315. 3 indexed citations
12.
Irtaza, Aun, et al.. (2020). An augmented reality based Virtual dressing room using Haarcascades Classifier. 1–6. 8 indexed citations
13.
14.
Albahli, Saleh, Nudrat Nida, Aun Irtaza, Muhammad Haroon Yousaf, & Muhammad Tariq Mahmood. (2020). Melanoma Lesion Detection and Segmentation Using YOLOv4-DarkNet and Active Contour. IEEE Access. 8. 198403–198414. 81 indexed citations
15.
Irtaza, Aun, et al.. (2020). MACCAI LiTS17 Liver Tumor Segmentation Using RetinaNet. 1–5. 9 indexed citations
16.
Nida, Nudrat, Muhammad Haroon Yousaf, Aun Irtaza, & Sergio A. Velastín. (2019). Instructor Activity Recognition through Deep Spatiotemporal Features and Feedforward Extreme Learning Machines. Mathematical Problems in Engineering. 2019(1). 25 indexed citations
17.
Nida, Nudrat, Aun Irtaza, Ali Javed, Muhammad Haroon Yousaf, & Muhammad Tariq Mahmood. (2019). Melanoma lesion detection and segmentation using deep region based convolutional neural network and fuzzy C-means clustering. International Journal of Medical Informatics. 124. 37–48. 157 indexed citations
18.
19.
Nida, Nudrat. (2019). Deep temporal motion descriptor (DTMD) for human action recognition. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 28(3). 1371–1385. 5 indexed citations
20.
Nida, Nudrat, et al.. (2019). Meter Digit Recognition Via Faster R-CNN. 1–5. 10 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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